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Optimizing the weight of the two-level gear train in the personal rescue winch

Truong Giang Duong Van Tinh Nguyen Tien Dung Nguyen
Archive of Mechanical Engineering | 2021 | vol. 68 | No 3 | 271-286 | DOI: 10.24425/ame.2021.138393
Keywords brute force method gear weight optimization rescue winch spur gear
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Abstract

In the previous study, we designed one personal rescue winch for high-rise building rescue. Its key requirement is to be small and light enough to suit users. In addition to using lightweight and reasonable materials as in the proposed winch design, in this study, we proceed to optimize the weight of one two-level gear train, which accounts for a large proportion of weight. The first stage is building a weight optimization problem model with seven independent variables, establishing one optimal algorithm, and investigating the variables by Matlab software. The other is replacing the web material of the gears and pinions with Aluminum 6061-T6 and optimizing their hole diameters and hole numbers through using Ansys software. The obtained result shows a significant weight reduction. Compared to the original design, the weight reduces by 10.21% and 52.40% after the first optimal and last stages, respectively.
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Authors and Affiliations

Truong Giang Duong
1
ORCID: ORCID
Van Tinh Nguyen
1
Tien Dung Nguyen
1
  1. Faculty of Mechanical Engineering, National University of Civil Engineering, Hanoi, Vietnam.

Characterization of geometrical parameters of plastic bottle shredder blade utilizing a two-step optimization method

Trieu Khoa Nguyen Minh Quang Chau The-Can Do Anh-Duc Pham
Archive of Mechanical Engineering | 2021 | vol. 68 | No 3 | 253-269 | DOI: 10.24425/ame.2021.138392
Keywords plastic waste shredder blade two-step optimization Taguchi method response surface method
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Abstract

In this paper, a numerical and experimental investigation of geometrical parameters of the blade for plastic bottle shredder was performed based on the Taguchi method in combination with a response surface method (RSM). Nowadays, plastic waste has become a major threat to the environment. Shredding, in which plastic waste is shredded into small bits, ready for transportation and further processing, is a crucial step in plastic recycling. Although many studies on plastic shredders were performed, there was still a need for more researches on the optimization of shredder blades. Hence, a numerical analysis was carried out to study the influences of the relevant geometrical parameters. Next, a two-step optimization process combining the Taguchi method and the RSM was utilized to define optimal parameters. The simulation results clearly confirmed that the current technique can triumph over the limitation of the Taguchi method, originated from a discrete optimization nature. The optimal blade was then fabricated and experimented, showing lower wear via measurement by an ICamScope® microscope. Hence, it can be clearly inferred from this investigation that the current optimization method is a simple, sufficient tool to be applied in such a traditional process without using any complicated algorithms or expensive software.
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Authors and Affiliations

Trieu Khoa Nguyen
1
ORCID: ORCID
Minh Quang Chau
1
ORCID: ORCID
The-Can Do
2
Anh-Duc Pham
2
ORCID: ORCID
  1. Faculty of Mechanical Engineering, Industrial University of Ho Chi Minh City, Ho Chi Minh City, Vietnam.
  2. Faculty of Mechanical Engineering, The University of Danang – University of Science and Technology, Da Nang City, Vietnam.

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